Image-Based Structural Health Monitoring: A Systematic Review

Abstract

The early discovery of factors that compromise a civil infrastructure’s structural integrity allows for safety monitoring, timely prevention, and a prompt remedy to the discovered problem. As a result, researchers have been researching various methodologies and types of structural health monitoring (SHM). A systematic search was performed following the updated Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) in Scopus and ScienceDirect from Elsevier, Google Scholar, MDPI, Springer, Wiley Online and ASCE Library, EOP and IOP Science, IEEE, and other databases with the reliable peer review process. From 1480 identified pieces of literature, one hundred and nine (109) sources met the criteria for inclusion and exclusion and were used to produce our findings. This study presents the identified purpose and application of image-based SHM, which includes: (1) identifying and discovering; (2) measuring and monitoring; (3) automating and increasing efficiency; and (4) promoting development and creating 3D models. Furthermore, the responsibilities and relevance of components and parameters for implementing image-based SHM devices and systems, and their issues, are covered in this paper. Future research can benefit from the stated applications for innovation and the requirements of image-based SHM.